YING CUI

My research focuses on the mathematical foundation of data science with emphasis on optimization techniques for operations research, machine learning and statistical estimations. This includes optimization models and computational methods for decision making under uncertainty, variational analysis for nonsmooth and/or semidefinite optimization, as well as efficient algorithms for stochastic programming and modern nonconvex optimization problems. 

I serve as an associate editor for Mathematical Programming, and the vice chair of Nonlinear Optimization for INFORMS Optimization Society.

Monograph: Modern Nonconvex Nondifferentiable Optimization, Ying Cui and Jong-Shi Pang, MOS/SIAM Series on Optimization. [available here] [Errata]